Results 41 to 50 of about 1,833,837 (280)

“Scapegoat” for Offline Consumption: Online Review Response to Social Exclusion

open access: yesFrontiers in Psychology, 2021
Previous research has mostly focused on Internet use behaviors, such as usage time of the Internet or social media after individuals experienced offline social exclusion.
Shichang Liang   +5 more
doaj   +1 more source

ANALYSIS OF IDIOMATIC EMOTION EXPRESSIONS DETECTED FROM ONLINE MOVIE REVIEWS [PDF]

open access: yes, 2013
A large number of idiomatic emotion expressions in Korean are composed of certain nouns of human body parts accompanied by selected predicates, which represent a ‘physiological metonymy’ of sentiment (Lakoff 1987, Ungerer & Schmid 1996)or instance ...
Kim, Sai-Rom, Lee, Hae-Yun, Nam, Jee-Sun
core  

Online Deception Detection Refueled by Real World Data Collection

open access: yes, 2017
The lack of large realistic datasets presents a bottleneck in online deception detection studies. In this paper, we apply a data collection method based on social network analysis to quickly identify high-quality deceptive and truthful online reviews ...
Caverlee, James   +3 more
core   +1 more source

Cell wall target fragment discovery using a low‐cost, minimal fragment library

open access: yesFEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan   +5 more
wiley   +1 more source

Advancing Semantic Classification: A Comprehensive Examination of Machine Learning Techniques in Analyzing Russian-Language Patient Reviews

open access: yesMathematics
Currently, direct surveys are used less and less to assess satisfaction with the quality of user services. One of the most effective methods to solve this problem is to extract user attitudes from social media texts using natural language text mining ...
Irina Kalabikhina   +5 more
doaj   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 more
wiley   +1 more source

Virtual Culinary Influence: Investigating the Impact of Food Vlogs on Viewer Attitudes and Restaurant Visit Intentions

open access: yesInformation
Emerging as a pivotal trend on social media, food review vlogs not only narrate culinary experiences but also boost local cuisine and economic growth. This study delves into how such vlogs and vlogger traits affect viewer attitudes and restaurant visit ...
Tu-Anh Truong   +3 more
doaj   +1 more source

Automated Crowdturfing Attacks and Defenses in Online Review Systems

open access: yes, 2017
Malicious crowdsourcing forums are gaining traction as sources of spreading misinformation online, but are limited by the costs of hiring and managing human workers.
Arisoy Ebru   +10 more
core   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

open access: yesMolecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck   +12 more
wiley   +1 more source

Impact of online negative and positive reviews on app innovation.

open access: yesPLoS ONE
Past studies have suggested that online reviews positively impact app innovation. However, extant research has not yet explored the distinct impacts of online negative and positive reviews on app innovation.
Lin Sun, Yuting He, Feng Fu
doaj   +1 more source

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